Triple
T7688602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Office of Insurance Regulation |
E174187
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
FLOIR
FLOIR is the state agency responsible for regulating and overseeing the insurance industry in Florida.
|
E680831
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: FLOIR | Statement: [Florida Office of Insurance Regulation, alsoKnownAs, FLOIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FLOIR Context triple: [Florida Office of Insurance Regulation, alsoKnownAs, FLOIR]
-
A.
FLO
FLO is the Norwegian Defence Logistics Organisation, responsible for procuring, managing, and maintaining materiel and logistics support for Norway’s armed forces.
-
B.
Flayosc
Flayosc is a picturesque Provençal village in southeastern France known for its historic charm, narrow streets, and surrounding vineyards and olive groves.
-
C.
Fleurie
Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
-
D.
Fliquet
Fliquet is a small coastal locality in the Parish of St. Martin on the island of Jersey, known for its shoreline and rural surroundings.
-
E.
Fleur
Fleur is a feminine given name of French origin meaning "flower," often used as a middle name in English-speaking countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FLOIR Triple: [Florida Office of Insurance Regulation, alsoKnownAs, FLOIR]
Generated description
FLOIR is the state agency responsible for regulating and overseeing the insurance industry in Florida.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FLOIR Target entity description: FLOIR is the state agency responsible for regulating and overseeing the insurance industry in Florida.
-
A.
FLO
FLO is the Norwegian Defence Logistics Organisation, responsible for procuring, managing, and maintaining materiel and logistics support for Norway’s armed forces.
-
B.
Flayosc
Flayosc is a picturesque Provençal village in southeastern France known for its historic charm, narrow streets, and surrounding vineyards and olive groves.
-
C.
Fleurie
Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
-
D.
Fliquet
Fliquet is a small coastal locality in the Parish of St. Martin on the island of Jersey, known for its shoreline and rural surroundings.
-
E.
Fleur
Fleur is a feminine given name of French origin meaning "flower," often used as a middle name in English-speaking countries.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70240bd7c81908b7f330abf97acca |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a261019c8190b8ef53bfb611cef4 |
completed | March 29, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69c8a2d073b08190a056e23cfdf13983 |
completed | March 29, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a37fabe481908c7da8a5d71a3f1c |
completed | March 29, 2026, 3:58 a.m. |
Created at: March 27, 2026, 4:02 p.m.